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yichuansuanfa_chengxu
- 完整的遗传算法，包括编码，解码，选择复制，交叉，变异，调试通过，效果还不错！-Complete genetic algorithm, including encoding, decoding, select Copy, crossover and mutation, debugging, results were pretty good!
matlabyichuan(new)
- 基于matlab的遗传算法，包括交叉、变异等！-Matlab genetic algorithm-based, including crossover, mutation, etc.!
GA
- 基本的遗传算法，实现了基本遗传算法的选择交叉变异等操作，对于初学遗传算法有一定的参考价值-Basic genetic algorithm, the choice of the basic genetic algorithm crossover and mutation operations, the genetic algorithm for the beginner has some reference value
Rectangle
- 矩形件优化排样是一个NPC问题，在工业界有着广泛的应用．针对该问题，提出一种自适应模拟退火遗传算法．采用一种基于环形交叉算子和环形变异算子的自适应遗传算法来自动调整交叉和变异概率；同时引入模拟退火算法对个体适应度大于平均适应度的个体进行退火处理．自适应模拟退火遗传算法充分发挥了自适应遗传算法与模拟退火算法各自的全局搜索能力与局部搜索能力．对比实验表明，该算法结合改进的最左最下布局算法解决矩形件优化排样问题更加有效．-Optimal layout is rectangular pieces of
matlab-GA
- matlab实现的遗传算法,包括编码,解码,选择,交叉,变异,每个过程都有独立的m文件,外加上一个PDF说明-matlab implementation of the genetic algorithm, including encoding, decoding, selection, crossover and mutation, each process has its own m-files, plus a PDF descr iption
fenpinqi
- c语言设计分频器详细资料，里面有大量例程并有相应注解。-c language crossover design details, there are a large number of routines and the corresponding notes.
MyGaMpiII_1.0
- 这是一个基于实数编码的Fortran语言的遗传算法，并用MPI并行实现，里面提供了丰富的选择算子，交叉算子，变异算子可供选择，如选择算子有基于赌盘选择算子，无回放余数随机选择算子，变异算子有高斯变异，自适应变异等，此外还实行了一种策略可以有效地降低早熟的概率，本人还有一份非MPI版本的遗传算法，需要者可以联系。-This is a real-coded in Fortran language of genetic algorithms, and use MPI parallel implemen
MyGa_1.0
- 基于Fortran语言的实数编码的遗传算法，非并行版本，里面有多种常见的选择算子，交叉算子，变异算子可选，并加入了小生境技术，最佳个体保存技术。对学习遗传算法的朋友们很有帮助。-Fortran-based language for real-coded genetic algorithm, non-parallel version, there are many common selection operator, crossover operator, mutation operator is
lala
- 用遗传算法求解最短路径问题求解的遗传算法的参数设定如下： 种群大小：M = 50 最大代数：G = 1000 交叉率： = 1 c p ，交叉概率为1 能保证种群的充分进化。 变异率： = 0.1 m p ， 一般而言，变异发生的可能性较小-With a genetic algorithm to solve the shortest path problem of the genetic algorithm parameter settings are as follows: p
yichuansuanfaC
- 遗传算法是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型. 生存+检测的迭代搜索过程是它的核心. 具体分成五部,其中每步就是程序实现过程: 参数编码(实际问题编码到遗传基因),初始群体设定(祖先),适应度函数的设计(生存选择),遗传操作设计(遗传+变异),控制参数设计(交叉率0.2-0.99,变异率0.001-0.1). -Genetic algorithms are simulated Darwinian natural selection of genetic sel
yichuansuanfa1
- 说明: fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Descr iption: fga.m main genetic algorithms binary Gray code, roulette method based on nonlinear ranking selection, uniform crossover and mutation, but also introduces the inver
yichuansuanfa2
- 基于均匀两点交叉的 遗传算法能够更有效地搜索到问题的有效解。对于二 进制编码方法使用上面的两种交叉操作都能达到问题 的最优解,-Two crossover based on uniform genetic algorithm can more effectively search the solution to the problem effectively. For the binary coding method using the above two cross-operati
yichuansuanfa3
- 遗传算法matlab程序，步骤为设置最大迭代步数、计算当前最大的适应度、设置初始取值范围[0 255]、进入加速迭代的间隔、选择交叉、变异等-Genetic algorithm matlab program, the steps to set the maximum number of iterative steps to calculate the current maximum of fitness, set the initial range [0 255], into the accel
GA-gonglv
- 提出了采用遗传算法对N路双频功率分配器进行优化设计，并在遗传算法中加入最有保持操作，便概率的交叉和变异操作。-Proposed N-way genetic algorithm to optimize the design of dual-band power splitter, and adding in the genetic algorithm to keep most operations will crossover and mutation probability.
Practica-4
- vhdl code: crossover
yichuansuanfa
- 这是一个很好的遗传算法程序，本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数-This is a good genetic algorithm, the program demonstrates a simple genetic algorithm with a random population, then according to the crossover rate, mutation rate, calculate the maxim
GA
- 遗传算法，分为个7个子函数：分别为编码、解码、选择、交叉、变异、目标函数和总调用。有详细的注释。-Genetic algorithm, into a seven sub-functions: respectively, encoding, decoding, selection, crossover and mutation, the objective function and the total calls. There are detailed notes.
particle-swarm-algorithm---matlab
- PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优-PSO algorithm is an evolutionary algorithm, and genetic algorithm is similar, it is starting from a random solu
genetic-algorithm
- 基于C语言，实现遗传算法得到最优值，其中包括选择、交叉、变异操作-C-based, genetic algorithm to achieve optimal value, including selection, crossover and mutation
Genetic_Algorithm
- A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolution